Build and optimize time series forecasting models for weather, energy market prices, and electricity grid supply and demand.
Translate analytical models into robust, production-ready code that powers a live energy trading platform.
Collaborate in a fully remote team using Python, SQL, and modern AI-powered coding tools to drive data-informed trading decisions.
The company operates a live energy trading platform powered by advanced forecasting solutions. It fosters a fully remote, distributed culture that values quantitative expertise, technical excellence, and practical problem-solving.
Build and deploy production-ready ML solutions using classical ML and statistical methods.
Own ML projects end-to-end from data pipelines and modelling to deployment and monitoring.
Work with engineers and product managers to turn business problems into practical ML and GenAI solutions.
Sport Alliance develops software solutions for fitness businesses, powering products like Magicline and PerfectGym Next used by thousands of gyms and millions of members. You'll join a collaborative team with flexible work arrangements and a focus on practical ML innovation.
Collaborate with Data Science teams to deploy and maintain machine learning models in production environments.
Build robust data processing pipelines and implement MLOps and LLMOps best practices for scalable AI solutions.
Work with cloud technologies, big data platforms, and machine learning frameworks to deliver innovative technical solutions.
The company specializes in data and technology services, helping transform machine learning solutions into production-ready systems. It is an established international organization with a collaborative, inclusive culture and a strong emphasis on continuous learning and career growth.
Build reproducible environments, prepare data and dependencies, and implement reference solutions.
Develop tests and evaluation criteria that distinguish correct solutions from incomplete or flawed approaches.
Run coding agents against tasks, investigate failures, and refine tasks.
We create rigorous data science tasks that require verified reference solutions and reproducible environments. We work with a remote team of contractors and offer flexible scheduling for this role.
Translate business and stakeholder needs into scalable data engineering and data science solutions.
Partner with cross-functional teams to understand requirements, prioritize opportunities, and deliver data-driven outcomes.
Build and maintain ETL pipelines, data integrations, and technical documentation for data assets.
Stryker is a leading medical technology company driven to make healthcare better, offering innovative products in orthopaedics, medical and surgical, and neurotechnology. Named one of the World's Best Workplaces, it is a large global organization focused on improving patient and hospital outcomes.
Design and deliver backend features in Python for large-scale enterprise SaaS.
Manage and optimize data pipelines that transform high-volume sensor streams into clean, structured time-series events.
Build integrations and configuration systems for enterprise customers, ensuring correctness under concurrency.
Arch Systems builds ArchFX Cloud, a platform that processes millions of IoT data points daily from factory machines to help manufacturers optimize efficiency, sustainability, and growth. The company champions a remote-first, asynchronous culture with significant ownership and autonomy.
Own the outcome from ambiguous customer problem to measurable impact, including building data when it doesn't exist and shipping models into real products.
Make the value legible by ensuring predictions are understandable, trustworthy, and actionable, and report realised impact back to the business.
Deliver end-to-end by operating deployment, testing, versioning, monitoring, and drift detection, and embed with product teams to put ML inside real workflows.
WorkWave provides AI-driven operational intelligence products that help businesses make better decisions and run their operations more efficiently. We foster a flexible, collaborative, and impact-driven culture focused on trust, inclusion, and delivering measurable customer outcomes.
Develop and commercialize advanced machine learning models for Women's Health features, focusing on time-series analysis and robust validation.
Lead complex projects and collaborate with cross-functional teams including scientists, product managers, and engineers.
Design rigorous statistical analyses for model performance and conduct exploratory research to translate ideas into scalable products.
Oura is a health technology company that creates the Oura Ring and connected app to help people gain deeper knowledge of their readiness, activity, and sleep quality. It is a quickly growing company focused on improving employee health and empowering its team to live healthier lives.
Own production machine learning models for churn, retention, and segmentation using structured customer data.
Improve prediction accuracy by fixing data quality issues, preventing leakage, and building automated evaluation systems.
Collaborate with backend engineers to integrate ML improvements into the Go production codebase.
The company builds data-driven customer decision products powered by machine learning. It is a US-based product-focused organization that values independent problem-solving, rigorous experimentation, and measurable business impact.
Develop and deploy statistical and machine learning solutions for a major U.S.-based e-commerce retailer.
Collaborate with project leadership, data specialists, and engineering teams to translate business challenges into analytical models.
Drive end-to-end data science projects from data exploration and feature engineering through predictive modeling and production deployment.
The company is a technology consultancy that delivers data science and machine learning solutions to clients. It is a growing, fully remote organization that values continuous learning and professional growth.
Drive S&OP process improvements in manufacturing by aligning demand, supply, and inventory planning.
Build analytics solutions with Microsoft Fabric, Power BI, and Lakehouse architecture.
Model data from D365 and business systems to enable reliable, real-time planning insights.
Wise Integration is a technology and recruitment firm that connects specialists with international projects, focusing on analytics, cloud, and ERP transformations. The company values delivery excellence and supports remote collaboration across Europe.
Label image data for training object recognition models
Program data acquisition pipelines in Python or C++
Develop frontend in Three.js, design 3D props in Blender/Omniverse, and administer Linux servers
We are a subsidiary of the Deutsche Telekom Group, providing IT and telecommunications services to large customers in Germany and Europe. With over 5,300 employees across four Hungarian sites, we are recognized as Hungary's most attractive employer and continuously develop our technology and talent.
Build, operate, and optimize robust data pipelines in Databricks (Python, SQL) using the Medallion Architecture.
Manage governance, access rights, and data lineage with Unity Catalog and deliver data via Power BI dashboards and Genie.
Automate deployments with Terraform and CI/CD pipelines, and leverage AI coding assistants like Claude Code or GitHub Copilot.
We are an agile IT software house with around 80 colleagues. We develop software solutions for industry and smart factory, from IoT platforms to agentic AI, turning complex industrial data into practical value.
Develop novel hybrid machine learning and mechanistic models of bioprocess systems, from research proof-of-concept to production-ready use.
Own research projects end-to-end, collaborating with wet lab, dry lab, software teams, and leading academic and industrial partners.
Build transferable, uncertainty-aware models and real-time control layers for fermentation across organisms and scales.
Differential Bio is unlocking the potential of the bioeconomy by fixing how biological R&D and scale-up are done. They are an early-stage startup with a small but mighty team, focused on cutting-edge modelling and real-world bioprocess impact.
Develop machine learning algorithms for device identification using noisy, unlabeled data.
Design supervised, semi-supervised, and unsupervised ML approaches.
Own projects from research through deployment to real-time services.
This partner company develops a high-volume, real-time identification platform for browsers and devices. It prioritizes engineering excellence and data-driven decisions, with a globally distributed team of specialists.
Implement, validate, and iterate on machine learning algorithms for weld perception tasks including point cloud registration and seam detection.
Build and maintain data pipelines for training and evaluating perception models, spanning annotated 3D scan data and synthetic data generation.
Integrate trained models into production ROS-based robotics services, ensuring low-latency inference and compatibility with deployed systems.
Path Robotics develops embodied intelligence AI systems that enable robots to adapt, learn, and perform real-world tasks, closing the skilled labor gap. The company is a team of intelligent, humble, and driven individuals working on hard problems to transform industrial automation.
Build credit scoring models, improve fraud detection, and design A/B tests for promotions.
Partner with product and operations teams to generate insights and drive decisions.
Take ownership of analytics projects from scoping to communicating findings to stakeholders.
Wave is building financial services to make Africa the first cashless continent, offering mobile money that works anywhere. With millions of users across 9 countries and a rapidly growing team, we foster autonomy and are backed by world-class investors.
Own the full journey from raw data to business impact via dbt models on AWS and analytics use cases.
Design clean, scalable data models with strong data quality, testing, and governance.
Partner with Product, Engineering, and Finance to deliver data products and grow into financial reporting.
Sport Alliance provides data and software solutions for the fitness industry through Magicline and Finion, serving thousands of fitness businesses and over 10 million members. The company is an AI-first, data-driven organization that values ownership, curiosity, and flexible working.
Develop, train, and optimize machine learning models using Python and common ML libraries.
Support data preprocessing, feature engineering, and CI/CD integration for scalable ML solutions.
Collaborate with data engineers and stakeholders in an Agile environment to align ML solutions with business needs.
Makpar is a professional and technical solutions provider for the Federal government, specializing in cloud engineering, data management, cybersecurity, and emerging technologies. The company's connected and engaged workforce is dedicated to delivering success for clients and the American people.
Design, develop, and optimize advanced Pricing and Revenue Growth Management (RGM) models.
Build and validate price-demand elasticity models and predictive models using Machine Learning, statistics, and econometrics.
Collaborate with business stakeholders, Data Engineers, and Machine Learning Engineers to translate business challenges into data-driven solutions.
At Muttdata, we build innovative Data Products and Machine Learning solutions that help companies solve complex business challenges. As a fast-growing, remote-first startup, we're passionate about technology, collaboration, and continuous learning.